Personality-dependent content selection in natural language generation systems
Abstract This paper focuses on the computer side of human-computer interaction through natural language, which is the domain of natural language generation (NLG) studies. From a given (usually non-linguistic) input, NLG systems will in principle generate the same fixed text as an output and in order...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Computação
2020-04-01
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| Series: | Journal of the Brazilian Computer Society |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13173-020-00096-1 |
| _version_ | 1811200558193704960 |
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| author | Ricelli M. S. Ramos Danielle S. Monteiro Ivandré Paraboni |
| author_facet | Ricelli M. S. Ramos Danielle S. Monteiro Ivandré Paraboni |
| author_sort | Ricelli M. S. Ramos |
| collection | DOAJ |
| description | Abstract This paper focuses on the computer side of human-computer interaction through natural language, which is the domain of natural language generation (NLG) studies. From a given (usually non-linguistic) input, NLG systems will in principle generate the same fixed text as an output and in order to attain more natural or human-like interaction will often resort to a wide range of strategies for stylistic variation. Among these, the use of computational models of human personality has emerged as a popular alternative in the field and will be the focus of the present work as well. More specifically, the present study describes two machine learning experiments to establish possible relations between personality and content selection (as opposed to the more well-documented relation between personality and surface realisation), and it is, to the best of our knowledge, the first of its kind to address this issue at both macro and micro planning levels, which may arguably pave the way for the future development of more robust personality-dependent systems of this kind. |
| first_indexed | 2024-04-12T02:05:29Z |
| format | Article |
| id | doaj.art-28992aba1a514a70b594d0b06e4f0a38 |
| institution | Directory Open Access Journal |
| issn | 0104-6500 1678-4804 |
| language | English |
| last_indexed | 2024-04-12T02:05:29Z |
| publishDate | 2020-04-01 |
| publisher | Sociedade Brasileira de Computação |
| record_format | Article |
| series | Journal of the Brazilian Computer Society |
| spelling | doaj.art-28992aba1a514a70b594d0b06e4f0a382022-12-22T03:52:32ZengSociedade Brasileira de ComputaçãoJournal of the Brazilian Computer Society0104-65001678-48042020-04-0126112110.1186/s13173-020-00096-1Personality-dependent content selection in natural language generation systemsRicelli M. S. Ramos0Danielle S. Monteiro1Ivandré Paraboni2University of São Paulo, School of Arts, Sciences and HumanitiesUniversity of São Paulo, School of Arts, Sciences and HumanitiesUniversity of São Paulo, School of Arts, Sciences and HumanitiesAbstract This paper focuses on the computer side of human-computer interaction through natural language, which is the domain of natural language generation (NLG) studies. From a given (usually non-linguistic) input, NLG systems will in principle generate the same fixed text as an output and in order to attain more natural or human-like interaction will often resort to a wide range of strategies for stylistic variation. Among these, the use of computational models of human personality has emerged as a popular alternative in the field and will be the focus of the present work as well. More specifically, the present study describes two machine learning experiments to establish possible relations between personality and content selection (as opposed to the more well-documented relation between personality and surface realisation), and it is, to the best of our knowledge, the first of its kind to address this issue at both macro and micro planning levels, which may arguably pave the way for the future development of more robust personality-dependent systems of this kind.http://link.springer.com/article/10.1186/s13173-020-00096-1Natural language generationContent selectionPersonality traitsBig five |
| spellingShingle | Ricelli M. S. Ramos Danielle S. Monteiro Ivandré Paraboni Personality-dependent content selection in natural language generation systems Journal of the Brazilian Computer Society Natural language generation Content selection Personality traits Big five |
| title | Personality-dependent content selection in natural language generation systems |
| title_full | Personality-dependent content selection in natural language generation systems |
| title_fullStr | Personality-dependent content selection in natural language generation systems |
| title_full_unstemmed | Personality-dependent content selection in natural language generation systems |
| title_short | Personality-dependent content selection in natural language generation systems |
| title_sort | personality dependent content selection in natural language generation systems |
| topic | Natural language generation Content selection Personality traits Big five |
| url | http://link.springer.com/article/10.1186/s13173-020-00096-1 |
| work_keys_str_mv | AT ricellimsramos personalitydependentcontentselectioninnaturallanguagegenerationsystems AT daniellesmonteiro personalitydependentcontentselectioninnaturallanguagegenerationsystems AT ivandreparaboni personalitydependentcontentselectioninnaturallanguagegenerationsystems |